Techprecision (TPCS) Long-Term Debt Repayments (2010 - 2026)
Techprecision (TPCS) posted Long-Term Debt Repayments of $173,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.4% from $169,000 a year earlier but down 1.1% from the prior quarter.
Techprecision (TPCS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Techprecision was $687,000, up 2.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $683,000, up 4.4% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 41.5% (FY2021 to FY2026).
- In prior fiscal years, Techprecision's Long-Term Debt Repayments was $654,000 in FY2025 (+9.0%), $600,000 in FY2024 (-1.0%), $605,905 in FY2023 (+19.1%) and $508,806 in FY2022 (+322.5%).
- Quarterly Long-Term Debt Repayments has run from a low of $15,791 in fiscal Q4 2022 to a high of $448,274 in fiscal Q2 2022 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in seven of the last eight quarters, with growth averaging 6.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q4 2023, with growth of 833.1%; the weakest was fiscal Q2 2023, with a decline of 65.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $175,000 (Q4 2026), $172,000 (Q3 2026) and $167,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.41 Bn | 306.11 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.12 Bn | 189.70 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.54 Bn | 139.64 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 148.52 Bn | 145.71 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 119.76 Bn | 117.88 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 89.61 Bn | 82.34 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 88.60 Bn | 70.00 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 78.91 Bn | 69.53 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 78.23 Bn | 74.79 Bn | 1.90 Bn | - |
| 10 | Techprecision | 55.56 Mn | 54.58 Mn | 1.40 Mn | 174,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174,000.00 |
| Mar 31, 2026 | 179,000.00 |
| Dec 31, 2025 | 175,000.00 |
| Sep 30, 2025 | 170,000.00 |
| Jun 30, 2025 | 171,000.00 |
| Mar 31, 2025 | 175,000.00 |
| Dec 31, 2024 | 174,000.00 |
| Sep 30, 2024 | 158,000.00 |
| Jun 30, 2024 | 156,000.00 |
| Mar 31, 2024 | 154,000.00 |
| Dec 31, 2023 | 156,000.00 |
| Sep 30, 2023 | 153,389.00 |
| Jun 30, 2023 | 153,611.00 |
| Mar 31, 2023 | 152,852.00 |
| Dec 31, 2022 | 153,952.00 |
| Sep 30, 2022 | 164,688.00 |
| Jun 30, 2022 | 170,985.00 |
| Mar 31, 2022 | 169,771.00 |
| Dec 31, 2021 | 169,304.00 |
| Sep 30, 2021 | 540,055.00 |
Techprecision Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TPCS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();